Comparison of Cluster Analysis Algorithms for Heavy Metals Contamination in Atmospheric Precipitation
نویسندگان
چکیده
The submitted article addresses the problematic of the cluster analysis. Real data sets concerning the atmospheric precipitation in chosen localities of the Czech Republic were used. The designed models use monthly data from years 2000 to 2007. Presented results refer to a pair of heavy metals – cadmium and lead. The data was processed by the help of the cluster analysis with presenting the results received through the Self organizing map, Two Step and K-Means methods. On the basis of the achieved results it is possible to decide about “quality” and “contamination” in the locality. Key-Words: Heavy metal contamination, atmospheric precipitation, correlation, cluster analysis algorithms
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تاریخ انتشار 2010